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FinchNode Synthetic Health Records

Get platform-shaped synthetic health record

get_demo_health_record
Read-onlyIdempotent

Get any mix of demographics, medications, conditions, labs, vitals, allergies, immunizations, encounters in one call — prefer this over several single-category tools. Builds a record view using the authenticated API normalized data shape (schemaVersion 2). Fixed fictional patient only; consent and sync are simulated, with no usable receipts or change cursor. Empty categories describe this fixture only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoriesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
recordYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already flag read-only, idempotent, non-destructive, closed-world behavior, and the description adds meaningful context on top: the data is normalized to schemaVersion 2, patient is fixed/fictional, consent and sync are simulated, and empty categories are a fixture artifact rather than meaningful absence. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the primary purpose and the preference over single-category tools, then adds necessary caveats. The only slightly dense phrase is the schemaVersion 2 data-shape note, but it is relevant and not wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter tool with an output schema and read-only/idempotent annotations, the description provides enough context: what it returns in general, its normalized shape, and its demo-only limitations. It could be more complete by naming the alternative tools it is not (get_demo_record, search_demo_fhir).

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must compensate. Listing the category mix and saying they can be combined in one call helps, but it omits 'documents' and 'claims' from the schema's enum and doesn't explain behavior when categories is absent or empty. It is adequate but has clear gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: fetching a platform-shaped synthetic health record with 'any mix' of eight listed categories in one call. It explicitly routes the agent away from 'several single-category tools,' but it never distinguishes this tool from the sibling get_demo_record or search_demo_fhir, so sibling differentiation is incomplete.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit usage preference: choose this over using multiple single-category tools when a mix is needed. It also sets important constraints (fixed fictional patient, simulated consent/sync, no usable receipts or change cursor), though it does not enumerate exclusions or when to use get_demo_record/search_demo_fhir.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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